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When you build connectable applications, you ll often be faced with the need to make your application talk to others that aren t built on the same APIs or technology. Consider the plumbing necessary to get a .NET Remoting application to talk to PHP, for example! Standards-based interoperability is a core design tenet of WCF. Using WCF allows you to quickly build services that use the advanced Web Services protocols (WS-*) this way, developers of applications that use other platforms can use the frameworks that implement the same standards on their platforms to talk to yours. It also allows you to easily upgrade your existing services and applications to use these standards, so you have a smooth glide path to upgrade your existing assets to standards-based interoperability. Finally, as new standards emerge, updates to the framework will become available, allowing you to use the standards with the peace of mind that Microsoft is supporting you. Any strategy for interoperability has two facets. The first is cross-platform interoperability, which is defined as support for communication between WCF and services built on non-Microsoft platforms. The strategy for this is to support the Web Services specifications extensively. The second is integration, which is defined as how WCF services will communicate with existing applications built on the Microsoft stack, including, for example, ASMX or Enterprise Services. At the heart of cross-platform interoperability is the support for the suite of Web Services standards, typically called WS-*. Three of the most important of these are WS-Security, WS-ReliableMessaging, and WS-Transactions, which provide for the secure, reliable, transactable services that are at the heart of WCF. You can see how these work in the abstract architecture diagram in Figure 7-2. .net code 128 reader C# Code 128 Reader SDK to read, scan Code 128 in C#.NET class ...
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VB. NET Code 128 Reader SDK to read, scan Code 128 in VB.NET class, web, Windows applications. Programming teams also exhibit sizable differences in software quality and productivity. Good programmers tend to cluster, as do bad programmers, an observation that has been confirmed by a study of 166 professional programmers from 18 organizations (Demarco and Lister 1999). In one study of seven identical projects, the efforts expended varied by a factor of 3.4 to 1 and program sizes by a factor of 3 to 1 (Boehm, Gray, and Seewaldt 1984). In spite of the productivity range, the programmers in this study were not a diverse group. They were all professional programmers with several years of experience who were enrolled in a computer-science graduate program. It s reasonable to assume that a study of a less homogeneous group would turn up even greater differences. An earlier study of programming teams observed a 5-to-1 difference in program size and a 2.6-to-1 variation in the time required for a team to complete the same project (Weinberg and Schulman 1974). After reviewing data more than 20 years of data in constructing the Cocomo II estimation model, Barry Boehm and other researchers concluded that developing a program with a team in the 15th percentile of programmers ranked by ability typically requires about 3.5 times as many work-months as developing a program with a team in the 90th percentile (Boehm et al 2000). Boehm and other birt pdf 417, word pdf 417, birt code 39, birt upc-a, birt gs1 128, birt ean 13 .net code 128 reader 1D Barcode Reader Component for C# & VB. NET | Scan Code 128 ...
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